Technical Execution and Engineering Excellence: Contribute to the end-to-end software development lifecycle, including
requirements gathering, application and database design, development, testing, and deployment. Build high-quality, scalable, and secure solutions by following engineering best practices and established development standards. Leverage AI technologies and developing Copilot-powered features that enhance user experience, productivity, and business outcomes. Solution Design and Development: Design and implement application components and services that align with architectural standards, security
requirements, and business objectives. Apply appropriate technologies, frameworks, and design patterns to build reliable, maintainable, and performant systems. Collaboration and Continuous Learning: Collaborate effectively with engineers, product managers, and designers to deliver customer-focused solutions. Actively participate in code reviews, technical discussions, and knowledge-sharing activities while continuously expanding technical expertise and contributing to a positive, inclusive team culture. Quality Assurance: Establish and enforce best practices in designing, coding, automated testing, and documentation to ensure high standards for code quality, performance, and service reliability. Reliability & Operational Excellence: Build production reliability through monitoring, alerting, diagnostics, and automated recovery; lead incident mitigation and root cause analysis; and continuously improve the performance, scalability, and cost efficiency of the platform. Continuous Improvement and Innovation: Identify and implement opportunities for automation, process optimization, and technical innovation, contributing to a culture of continuous improvement across
the team. Planning and Communication: Drive active participation in sprint, quarterly, and semester planning—providing accurate cost and effort estimates while maintaining transparent communication on deliverables, risks, and milestones. Partner effectively with cross-functional teams, stakeholders, and business partners to ensure alignment and on-time delivery. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport. 3+ years of experience as a software engineer building commercial software and proven track record of shipping successful software products & services. 3+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model. Technical skills should include proficiency in C#, .NET, Microservices architecture, REST API's, React, JavaScript/TypeScript, or equivalent languages/frameworks. Experience harnessing next-generation AI development tools like GitHub Copilot, Copilot CLI/SDK, Claude CLI, or equivalents to transform the SDLC by building agents, plugins, skills, and MCP servers that drive automation and engineering excellence at scale. Data & Databases: Azure SQL, Cosmos DB, Azure Synapse, PostgreSQL and NoSQL databases. Experience in DevOps tooling and Azure infrastructure, including source control (Git), CI/CD pipelines, automated testing frameworks. Experience influencing and impacting in cross-group and matrixed team environments.
Citus Data scales out PostgreSQL, taking relational power further for real-time applications. The CitusDB database offers a unique combination of massive parallelism, real-time reads/writes, and rich PostgreSQL expressiveness including native support for JSON data. The result is an extensible distributed database with an open ecosystem that powers interactive analytics and operational workloads -- making it simple for organizations to ingest, explore and aggregate billions of events on the fly.
Based in San Francisco, Citus Data is a Y Combinator alumnus and is backed by investors that include Data Collective, Bullpen Capital, and SV Angel. The CitusDB database is used by enterprises across multiple verticals, including e-commerce, retail, security, ad-tech, and mobile analytics, and is available for download from the company’s website at www.citusdata.com.
Location
Redmond, WA
Total raised
$13.3M
Last stage
Series A
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.